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48 lines
1.4 KiB
C++
48 lines
1.4 KiB
C++
#include "perf_precomp.hpp"
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#include <opencv2/imgproc/imgproc.hpp>
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using cv::Rect;
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using std::tr1::get;
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typedef std::tr1::tuple<std::string, std::string> fixture;
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typedef perf::TestBaseWithParam<fixture> detect;
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namespace {
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typedef cv::SCascade::Detection detection_t;
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void extractRacts(std::vector<detection_t> objectBoxes, std::vector<Rect>& rects)
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{
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rects.clear();
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for (int i = 0; i < (int)objectBoxes.size(); ++i)
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rects.push_back(objectBoxes[i].bb);
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}
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}
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PERF_TEST_P(detect, SCascade,
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testing::Combine(testing::Values(std::string("cv/cascadeandhog/cascades/inria_caltech-17.01.2013.xml")),
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testing::Values(std::string("cv/cascadeandhog/images/image_00000000_0.png"))))
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{
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typedef cv::SCascade::Detection Detection;
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cv::Mat colored = cv::imread(getDataPath(get<1>(GetParam())));
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ASSERT_FALSE(colored.empty());
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cv::SCascade cascade;
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cv::FileStorage fs(getDataPath(get<0>(GetParam())), cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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std::vector<detection_t> objectBoxes;
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cascade.detect(colored, cv::noArray(), objectBoxes);
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TEST_CYCLE()
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{
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cascade.detect(colored, cv::noArray(), objectBoxes);
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}
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std::vector<Rect> rects;
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extractRacts(objectBoxes, rects);
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std::sort(rects.begin(), rects.end(), perf::comparators::RectLess());
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SANITY_CHECK(rects);
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} |